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Bridging domain gaps in agricultural 3D point cloud classification using adversarial domain adaptation. [PDF]
Sci RepFatima Z, Zardari S, Tanveer MH.
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Point-SLAM: Dense Neural Point Cloud-based SLAM
IEEE International Conference on Computer Vision, 2023We propose a dense neural simultaneous localization and mapping (SLAM) approach for monocular RGBD input which anchors the features of a neural scene representation in a point cloud that is iteratively generated in an input-dependent data-driven manner ...
Erik Sandström +3 more
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IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020
Fuzzy objects composed of hair, fur, or feather are impossible to scan even with the latest active or passive 3D scanners. We present a novel and practical neural rendering (NR) technique called neural opacity point cloud (NOPC) to allow high quality rendering of such fuzzy objects at any viewpoint.
Cen Wang +5 more
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Fuzzy objects composed of hair, fur, or feather are impossible to scan even with the latest active or passive 3D scanners. We present a novel and practical neural rendering (NR) technique called neural opacity point cloud (NOPC) to allow high quality rendering of such fuzzy objects at any viewpoint.
Cen Wang +5 more
openaire +2 more sources
Point 4D Transformer Networks for Spatio-Temporal Modeling in Point Cloud Videos
Computer Vision and Pattern Recognition, 2021Point cloud videos exhibit irregularities and lack of order along the spatial dimension where points emerge inconsistently across different frames. To capture the dynamics in point cloud videos, point tracking is usually employed.
Hehe Fan, Yi Yang, Mohan Kankanhalli
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Proceedings of the twenty-ninth annual symposium on Computational geometry, 2013
In this video, we illustrate how one of the classical areas of computational geometry has gained in practical relevance, which in turn gives rise to new, fascinating geometric problems. In particular, we demonstrate how the robot platform IRMA3D can produce high-resolution, virtual 3D environments, based on a limited number of laser scans. Computing an
Dorit Borrmann +8 more
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In this video, we illustrate how one of the classical areas of computational geometry has gained in practical relevance, which in turn gives rise to new, fascinating geometric problems. In particular, we demonstrate how the robot platform IRMA3D can produce high-resolution, virtual 3D environments, based on a limited number of laser scans. Computing an
Dorit Borrmann +8 more
openaire +1 more source
PointMamba: A Simple State Space Model for Point Cloud Analysis
Neural Information Processing SystemsTransformers have become one of the foundational architectures in point cloud analysis tasks due to their excellent global modeling ability. However, the attention mechanism has quadratic complexity, making the design of a linear complexity method with ...
Dingkang Liang +7 more
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